The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

A novel scoring system for term-equivalent-age cranial ultrasound in extremely preterm infants

A novel scoring system for term-equivalent-age cranial ultrasound in extremely preterm infants
A novel scoring system for term-equivalent-age cranial ultrasound in extremely preterm infants
The role of term-equivalent-age (TEA) cranial ultrasound (cUS) in predicting outcome in preterm infants is increasingly being recognized. However, a detailed quantitative scoring system that allows comparison of groups and comparison with TEA magnetic resonance imaging (MRI) scoring systems is lacking. Eighty-four extremely preterm infants underwent cUS and MRI at TEA. Cranial US was evaluated using a novel detailed scoring system. Agreement between cUS and MRI scores was good (Spearman's ρ = 0.51, p < 0.001). Outcome at 30 mo corrected was assessed in 66 of 84 preterm and 85 term-born infants. Sensitivity was the same for cUS and MRI in prediction of cerebral palsy (75%) and severe cognitive delay (100%); the specificity was slightly higher for MRI (cerebral palsy: 97% vs. 90%, severe cognitive delay: 95% vs. 90%). The proposed novel cUS scoring system is a helpful tool in quantitative assessment of cUS at TEA and prediction of outcome at 30 mo.
0301-5629
786-794
Skiöld, Béatrice
e0462ec7-9993-47b5-92bb-3db4edf06d2d
Hallberg, Boubou
afac0039-8dc9-45c5-a695-4778134abfb1
Vollmer, Brigitte
044f8b55-ba36-4fb2-8e7e-756ab77653ba
Ådén, Ulrika
4d84a0ab-ef6d-4cdc-9653-913f1c4f79f3
Blennow, Mats
14d9f9ca-4587-4372-b964-463355551e31
Horsch, Sandra
7d161f85-dc40-4ab9-bd18-bb8903600e5b
Skiöld, Béatrice
e0462ec7-9993-47b5-92bb-3db4edf06d2d
Hallberg, Boubou
afac0039-8dc9-45c5-a695-4778134abfb1
Vollmer, Brigitte
044f8b55-ba36-4fb2-8e7e-756ab77653ba
Ådén, Ulrika
4d84a0ab-ef6d-4cdc-9653-913f1c4f79f3
Blennow, Mats
14d9f9ca-4587-4372-b964-463355551e31
Horsch, Sandra
7d161f85-dc40-4ab9-bd18-bb8903600e5b

Skiöld, Béatrice, Hallberg, Boubou, Vollmer, Brigitte, Ådén, Ulrika, Blennow, Mats and Horsch, Sandra (2019) A novel scoring system for term-equivalent-age cranial ultrasound in extremely preterm infants. Ultrasound in Medicine & Biology, 45 (3), 786-794. (doi:10.1016/j.ultrasmedbio.2018.11.005).

Record type: Article

Abstract

The role of term-equivalent-age (TEA) cranial ultrasound (cUS) in predicting outcome in preterm infants is increasingly being recognized. However, a detailed quantitative scoring system that allows comparison of groups and comparison with TEA magnetic resonance imaging (MRI) scoring systems is lacking. Eighty-four extremely preterm infants underwent cUS and MRI at TEA. Cranial US was evaluated using a novel detailed scoring system. Agreement between cUS and MRI scores was good (Spearman's ρ = 0.51, p < 0.001). Outcome at 30 mo corrected was assessed in 66 of 84 preterm and 85 term-born infants. Sensitivity was the same for cUS and MRI in prediction of cerebral palsy (75%) and severe cognitive delay (100%); the specificity was slightly higher for MRI (cerebral palsy: 97% vs. 90%, severe cognitive delay: 95% vs. 90%). The proposed novel cUS scoring system is a helpful tool in quantitative assessment of cUS at TEA and prediction of outcome at 30 mo.

Text
Skiöld et al 2018.04.16 cUS scoring at TEA_ Ms_BV - Accepted Manuscript
Download (67kB)

More information

Accepted/In Press date: 8 November 2018
e-pub ahead of print date: 2 January 2019
Published date: March 2019

Identifiers

Local EPrints ID: 428924
URI: http://eprints.soton.ac.uk/id/eprint/428924
ISSN: 0301-5629
PURE UUID: 4343bed1-4713-404b-a8eb-abcb85770591
ORCID for Brigitte Vollmer: ORCID iD orcid.org/0000-0003-4088-5336

Catalogue record

Date deposited: 14 Mar 2019 17:30
Last modified: 10 Jan 2022 02:56

Export record

Altmetrics

Contributors

Author: Béatrice Skiöld
Author: Boubou Hallberg
Author: Ulrika Ådén
Author: Mats Blennow
Author: Sandra Horsch

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×